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  • Search: subject:"Screening methods"
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Year of publication
Subject
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Theorie 8 Theory 8 Cartel 6 Kartell 6 screening methods 6 Artificial intelligence 5 Künstliche Intelligenz 5 Bid rigging detection 3 ensemble methods 3 machine learning 3 Screening Methods 2 Signalling 2 Statistical method 2 Statistische Methode 2 cover bidding screen 2 lasso 2 random forest 2 structural and behavioural screens 2 variance screen 2 Asymmetric information 1 Asymmetrische Information 1 Auction 1 Auktion 1 Bid rigging 1 Bid-Ridding Cartels 1 Collusion 1 Descriptive statistics 1 Economic Tests of Bajari and Ye (2003) 1 Electric power industry 1 Electricity 1 Electricity Markets 1 Electricity price 1 Elektrizität 1 Elektrizitätswirtschaft 1 Energiehandel 1 Energy trade 1 Ensemble methods 1 Großhandel 1 Kommunalverwaltung 1 Lasso 1
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Online availability
All
Free 9
Type of publication
All
Book / Working Paper 7 Article 2
Type of publication (narrower categories)
All
Graue Literatur 6 Non-commercial literature 6 Arbeitspapier 5 Working Paper 5 Article in journal 2 Aufsatz in Zeitschrift 2 Collection of articles of several authors 1 Collection of articles written by one author 1 Hochschulschrift 1 Sammelwerk 1 Sammlung 1
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Language
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English 8 Undetermined 1
Author
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Imhof, David 6 Huber, Martin 4 Wallimann, Hannes 2 Brown, David P. 1 Eckert, Andrew 1 Ishii, Rieko 1 Marchal, Emmanuelle 1 Silveira, Douglas 1 Ziarko, Łukasz 1 de Larquier, Guillemette 1
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Institution
All
EconomiX, Université Paris Ouest-Nanterre la Défense (Paris X) 1
Published in...
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Working papers SES 4 Computational economics 1 EconomiX Working Papers 1 Ekonomia i prawo 1 Working paper / University of Alberta, Faculty of Arts, Department of Economics 1
Source
All
ECONIS (ZBW) 8 RePEc 1
Showing 1 - 9 of 9
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A machine learning approach for flagging incomplete bid-rigging cartels
Wallimann, Hannes; Imhof, David; Huber, Martin - In: Computational economics 62 (2023) 4, pp. 1669-1720
Persistent link: https://www.econbiz.de/10014437552
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Screening for collusion in wholesale electricity markets : a review of the literature
Brown, David P.; Eckert, Andrew; Silveira, Douglas - 2023
Persistent link: https://www.econbiz.de/10014301371
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Statistical methods as a tool to identify bid-rigging : the case of local authorities
Ziarko, Łukasz - In: Ekonomia i prawo 21 (2022) 3, pp. 655-669
Persistent link: https://www.econbiz.de/10013474043
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Transnational machine learning with screens for flagging bid-rigging cartels
Huber, Martin; Imhof, David; Ishii, Rieko - 2020
Persistent link: https://www.econbiz.de/10012436078
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Cover Image
A machine learning approach for flagging incomplete bid-rigging cartels
Wallimann, Hannes; Imhof, David; Huber, Martin - 2020
Persistent link: https://www.econbiz.de/10012260215
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Empirical methods for detecting bid-rigging cartels
Imhof, David - 2019
The PhD studies different empirical methods to detect bid-rigging cartels. It shows first that simple statistical screens perform very well to detect bid-rigging infringement. Second, the econometric method of Bajari, well established in the literature, produces poor results.
Persistent link: https://www.econbiz.de/10012126446
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Machine learning with screens for detecting bid-rigging cartels
Huber, Martin; Imhof, David - 2018
Persistent link: https://www.econbiz.de/10011923342
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Simple statistical screens to detect bid rigging
Imhof, David - 2017
Persistent link: https://www.econbiz.de/10011742355
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The Ways of Selecting Applicants Diversity Speaks in Favour of Diversity
de Larquier, Guillemette; Marchal, Emmanuelle - EconomiX, Université Paris Ouest-Nanterre la Défense … - 2014
This article addresses diversity in hiring processes, its reasons and its consequences. Using the French OFER survey on the hiring practices of 3,584 firms in 2005, we investigate how firms organise the selection of job applicants and analyse the outcome of this selection in regard to the...
Persistent link: https://www.econbiz.de/10010812068
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